Table 2.
Logistic regression model of factors influencing adequate COVID-19 knowledge.
| Variables | Model 1 | Model 2 | ||||
|---|---|---|---|---|---|---|
| OR | 95% CI | P | OR | 95% CI | P | |
| Gender (ref. = Male) | 1.163 | 1.01–1.339 | 0.036 | 1.170 | 1.012–1.352 | 0.034 |
| Age (ref. = 15–34) | ||||||
| 35–54 | 0.968 | 0.783–1.196 | 0.764 | 1.033 | 0.83–1.287 | 0.769 |
| 55–69 | 0.913 | 0.707–1.18 | 0.488 | 1.083 | 0.83–1.412 | 0.558 |
| Marital status (ref. = single/widow/divorced) | 0.967 | 0.783–1.195 | 0.755 | 0.913 | 0.735–1.134 | 0.410 |
| Educational levels (ref. = Less than junior high school) | ||||||
| Junior/senior high school | 1.517 | 1.222–1.884 | < 0.001 | 1.353 | 1.085–1.687 | 0.007 |
| College or above | 2.812 | 2.136–3.702 | < 0.001 | 1.924 | 1.444–2.564 | < 0.001 |
| Occupation (ref. = Service/Commercial) | ||||||
| Students | 1.368 | 0.902–2.074 | 0.140 | 1.332 | 0.866–2.048 | 0.192 |
| Workers/Farmers | 0.765 | 0.594–0.986 | 0.038 | 0.880 | 0.677–1.144 | 0.341 |
| Others | 0.946 | 0.764–1.171 | 0.610 | 1.046 | 0.839–1.305 | 0.689 |
| Annual household income (ref. = 0–49,999) | ||||||
| 50,000–99,999 | 0.909 | 0.726–1.139 | 0.408 | 0.914 | 0.727–1.15 | 0.444 |
| 100,000–149,999 | 1.097 | 0.873–1.378 | 0.427 | 1.078 | 0.853–1.361 | 0.529 |
| ≥150,000 | 1.376 | 1.102–1.719 | 0.005 | 1.320 | 1.051–1.657 | 0.017 |
| Chronic conditions (ref. = No) | 1.012 | 0.837–1.223 | 0.903 | 1.030 | 0.85–1.25 | 0.761 |
| Health literacy (ref. = limited) | – | – | – | 3.473 | 2.974–4.057 | < 0.001 |
| −2LL | 5,186.791 | 4,942.475 | ||||
| Nagelkerke R2 | 0.074 | 0.137 | ||||
Boldface indicates statistical significance.